Publications related to OSI model

End-to-end kernel learning via generative random Fourier features

Random Fourier features (RFFs) provide a promising way for kernel learning in a spectral case. Current RFFs-based kernel learning methods usually work in a two-stage way. In the first-stage process, learn-ing an optimal feature map is often formulated as a ...

ELSEVIER SCI LTD2023

Two-layer adaptive signal control framework for large-scale networks combining efficient Max-Pressure and Perimeter Control

Nikolaos Geroliminis, Dimitrios Tsitsokas, Anastasios Kouvelas

This work investigates the benefits of a two-layer adaptive signal control framework combining multi-region perimeter control (PC) with distributed Max Pressure (MP) control in selected network intersections. Motivated by MP’s questionable performance in o ...

2022

Experimental investigations on plunge pool protection measures for Ilarion Dam in Greece

Anton Schleiss, Giovanni De Cesare, Azin Amini, Romain Nathan Hippolyte Merlin Van Mol

Ilarion Dam is a 130 m high earthfill dam at Aliakmon River in northern Greece. The dam was commissioned in 2010. It has two spillway tunnels with ski jumps at the outlets. The two spillways are designed to release a total discharge of 5'500 m3/s during th ...

2022

Exploring the inner workings of the clove hitch knot

Pedro Miguel Nunes Pereira de Almeida Reis, Paul Johanns, Tomohiko Sano, Paul Grandgeorge, Changyeob Baek

We perform a combined experimental and computational investigation of the clove hitch knot. We develop a physical model for the clove hitch by tying an elastic rod onto a rigid cylinder. In the experiments, we characterize the mechanical performance, geome ...

ELSEVIER2022

Breaking Silos to Guarantee Control Stability with Communication over Ethernet TSN

Amir Aminifar

Editor's notes: The cross-layer approach presented in this article involves co-designing a feedback controller's parameters together with the schedule of an Ethernet network used for communicating state information and control signals.-Samarjit Chakraborty ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2021

Bedload transport assessment on a physical model of a large river widening using ultrasonic Doppler velocity measurements

Giovanni De Cesare, Azin Amini, Jean-Noël Saugy

The 3rd correction of the Rhône River is the largest flood protection project in Switzerland so far. Covering a length of 162 km, it aims to protect some 100,000 people and prevent flood damages, which could raise up to 10 billion Swiss francs for major ev ...

ETH Zurich, Laboratory of Food Process Engineering2021

An Open-Source LoRa Physical Layer Prototype on GNU Radio

Andreas Peter Burg, Alexios Konstantinos Balatsoukas Stimming, Orion Afisiadis, Joachim Tobias Tapparel, Paul Angelin Antoine Mayoraz

LoRa is the proprietary physical layer (PHY) of LoRaWAN, which is a popular Internet-of-Things (IoT) protocol enabling low-power devices to communicate over long ranges. A number of reverse engineering attempts have been published in the last few years tha ...

IEEE2020

The Cost of Scaling a Reliable Interconnection Topology

Rachid Guerraoui, Alexandre David Olivier Maurer

In distributed computing, many papers try to evaluate the message complexity of a distributed system as a function of the number of nodes n. But what about the cost of building the distributed system itself? Assuming that we want to reliably connect n node ...

2020

Physical Layer Aspects of LoRa and Full-Duplex Wireless Transceivers

Orion Afisiadis

Wireless communications are currently faced with two main challenges. The first challenge stems from the enormous number of Internet of Things (IoT) devices that transmit very small amounts of data. The second challenge is the need for ever-increasing data ...

EPFL2020

Regulating the anomalous Hall and Nernst effects in Heusler-based trilayers

Jean-Philippe Ansermet, Haiming Yu, Simon Granville, Sa Tu, Junfeng Hu, Song Liu

Anomalous Hall and anomalous Nernst properties of thin MgO/Co-2Fe0.4Mn0.6Si/Pd stacks with perpendicular magnetic anisotropy (PMA) revealed the presence of the magnetic proximity effect (MPE) in the Pd layer. The MPE is evidenced by nanometer range thickne ...

2020

Detection of Bad PMU Data using Machine Learning Techniques

Alexandra Cameron Karpilow, Sidi-Rachid Cherkaoui

This project presents a pre-State Estimation method for the detection of Bad Data (BD) in Phasor Measurement Units (PMUs) using correlation analysis and a Neural Network Classifier. Presented in this paper is the algorithm design, the steps for generating ...

IEEE2020

Field-effect transistor device or sensor for sensing ions, molecules or biomarkers in a fluid

Mihai Adrian Ionescu, Junrui Zhang, Erick Antonio Garcia Cordero, Francesco Bellando

The present disclosure concerns a Field-Effect Transistor device or sensor comprising at least one drain region, at least one source region, at least a channel region, at least a first gate connected to the channel region, at least one stack comprising at ...

2019

Employing Attack Graphs for Intrusion Detection

Mathias Josef Payer

Intrusion detection systems are a commonly deployed defense that examines network traffic, host operations, or both to detect attacks. However, more attacks bypass IDS defenses each year, and with the sophistication of attacks increasing as well, we must e ...

ASSOC COMPUTING MACHINERY2019

Molecular Complex of Tb in the +4 Oxidation State

Rosario Scopelliti, Marinella Mazzanti, Ivica Zivkovic

Lanthanides (Ln) usually occur in the +3, or more recently the +2, oxidation states. The only example of an isolated molecular Ln(4+) so far remains Ce4+. Here we show that the +4 oxidation state is also accessible in a molecular compound of terbium as dem ...

2019

On the Delays in Time-Varying Networks: Does Larger Service-Rate Variance Imply Larger Delays?

Patrick Thiran, Sébastien Christophe Henri

In all networks, link or route capacities fluctuate for multiple reasons, e.g., fading and multi-path effects on wireless channels, interference and contending users on a shared medium, varying loads in WAN routers, impedance changes on power-line channels ...

2018

Wireless Communication and Security Issues for Cyber-Physical Systems and the Internet-of-Things

Andreas Peter Burg, Anupam Chattopadhyay

Wireless sensors and actuators connected by the Internet-of-Things (IoT) are central to the design of advanced cyber-physical systems (CPSs). In such complex, heterogeneous systems, communication links must meet stringent requirements on throughput, latenc ...

Ieee-Inst Electrical Electronics Engineers Inc2018

Two-layer hierarchical control for large-scale urban traffic networks

Nikolaos Geroliminis, Anastasios Kouvelas

Many efforts have been carried out to optimize the traffic signal settings in cities. Nevertheless, state-of-the-art and -practice strategies cannot deal efficiently with oversaturated conditions (i.e. queue spillbacks and partial gridlocks), as they are e ...

IEEE2018

Hybrid Modelling Approach to Study Scour Potential at Chancy-Pougny Dam Stilling Basin

Anton Schleiss, Giovanni De Cesare, Erik Bollaert, Sabine Chamoun, Davide Wüthrich

Chancy-Pougny is a run-of-river dam on the Swiss-French border constructed in the early 1920s. Since its inauguration, the operation of the four spillway gates was responsible for a progressive erosion of the stilling basin. Thus, a hybrid modelling was pe ...

Springer2018

A Physical Model of Non-stationary Blur in Ultrasound Imaging

Jean-Philippe Thiran, Yves Wiaux, Paul Hurley, Dimitris Perdios, Matthieu Martin Jean-André Simeoni, Adrien Georges Jean Besson, Marcel Arditi

Conventional ultrasound (US) imaging relies on delay-and-sum (DAS) beamforming which retrieves a radio- frequency (RF) image, a blurred estimate of the tissue reflectivity function (TRF). Despite the non-stationarity of the blur induced by propagation effe ...

2019

Ultra High-Speed Hardware Emulator for Real-Time Fault Location in Multi-Conductor Power Systems

Maher Kayal, François Krummenacher, François Pierre Gaugaz

This research presents a transmission line model aimed for the fault location in power systems using a method based on the Electromagnetic Time-Reversal (EMTR). The discrete-time model simulates the waves travelling in the line by means of many unit delays ...

IEEE2018